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dc.contributor.authorOsborne, M
dc.contributor.authorMalavelle, FF
dc.contributor.authorAdam, M
dc.contributor.authorBuxmann, J
dc.contributor.authorSugier, J
dc.contributor.authorMarenco, F
dc.contributor.authorHaywood, J
dc.date.accessioned2019-12-04T13:01:41Z
dc.date.issued2019-03-20
dc.description.abstractOn 15-16 October 2017, ex-hurricane Ophelia passed to the west of the British Isles, bringing dust from the Sahara and smoke from Portuguese forest fires that was observable to the naked eye and reported in the UK's national press. We report here detailed observations of this event using the UK operational lidar and sun-photometer network, established for the early detection of aviation hazards, including volcanic ash. We also use ECMWF ERA5 wind field data and MODIS imagery to examine the aerosol transport. The observations, taken continuously over a period of 30 h, show a complex picture, dominated by several different aerosol layers at different times and clearly correlated with the passage of different air masses associated with the intense cyclonic system. A similar evolution was observed at several sites, with a time delay between them explained by their different location with respect to the storm and associated meteorological features. The event commenced with a shallow dust layer at 1-2 km in altitude and culminated in a deep and complex structure that lasted ∼12 h at each site over the UK, correlated with the storm's warm sector. For most of the time, the aerosol detected was dominated by mineral dust mixtures, as highlighted by depolarisation measurements, but an intense biomass burning aerosol (BBA) layer was observed towards the end of the event, lasting around 3 h at each site. The aerosol optical depth at 355 nm (AOD355) during the whole event ranged from 0.2 to 2.9, with the larger AOD correlated to the intense BBA layer. Such a large AOD is unprecedented in the UK according to AERONET records for the last 20 years. The Raman lidars permitted the measurement of the aerosol extinction coefficient at 355 nm, the particle linear depolarisation ratio (PLDR), and the lidar ratio (LR) and made the separation of the dust (depolarising) aerosol from other aerosol types possible. A specific extinction has also been computed to provide an estimate of the atmospheric concentration of both aerosol types separately, which peaked at 420±200 μgm-3 for the dust and 558±232 μgm-3 for the biomass burning aerosols. Back trajectories computed using the Numerical Atmospheric-dispersion Modelling Environment (NAME) were used to identify the sources and strengthen the conclusions drawn from the observations. The UK network represents a significant expansion of the observing capability in northern Europe, with instruments evenly distributed across Great Britain, from Camborne in Cornwall to Lerwick in the Shetland Islands, and this study represents the first attempt to demonstrate its capability and validate the methods in use. Its ultimate purpose will be the detection and quantification of volcanic plumes, but the present study clearly demonstrates the advanced capabilities of the network.en_GB
dc.description.sponsorshipNatural Environment Research Councilen_GB
dc.description.sponsorshipUniversity of Exeteren_GB
dc.identifier.citationVol. 19, pp. 3557 - 3578en_GB
dc.identifier.doi10.5194/acp-19-3557-2019
dc.identifier.grantnumberNE/L013886/1en_GB
dc.identifier.grantnumberNE/M009416/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39956
dc.language.isoenen_GB
dc.publisherEuropean Geosciences Union (EGU) / Copernicus Publicationsen_GB
dc.rights© Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.titleSaharan dust and biomass burning aerosols during ex-hurricane Ophelia: Observations from the new UK lidar and sun-photometer networken_GB
dc.typeArticleen_GB
dc.date.available2019-12-04T13:01:41Z
dc.identifier.issn1680-7316
dc.descriptionThis is the final version. Available from European Geosciences Union (EGU) / Copernicus Publications via the DOI in this record. en_GB
dc.identifier.journalAtmospheric Chemistry and Physicsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-03-04
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-03-04
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-12-04T12:57:58Z
refterms.versionFCDVoR
refterms.dateFOA2019-12-04T13:01:47Z
refterms.panelBen_GB


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© Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's licence is described as © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.